Machine Learning Model Explainer Why do we need to explain our models? Mateusz BłajdaMachine Learning Researcher Read more
Machine Learning Large language models in recommendation systems Exploring recent advancements in leveraging LLMs for recommendation systems. Piotr KrzywickiMachine Learning Researcher Read more
Machine Learning Ultrafast NVMe Sampler Random batch generation at 6 GB/s (or 5M records/s). Bartłomiej Romański Read more
Machine Learning Improving the performance of neural networks in regression tasks using drawering See our recent work at IJCNN 2017 in Anchorage, Alaska, USA. Bartłomiej Romański Read more
Machine Learning CUDA FFM – 50-70x faster training Field-aware Factorization Machines on CUDA. Bartłomiej Romański Read more
Machine Learning Our user2vec at ICML 2016 User modeling using LSTM networks. Bartłomiej Romański Read more